CellMapper

DOI: 10.18129/B9.bioc.CellMapper  

Predict genes expressed selectively in specific cell types

Bioconductor version: Release (3.16)

Infers cell type-specific expression based on co-expression similarity with known cell type marker genes. Can make accurate predictions using publicly available expression data, even when a cell type has not been isolated before.

Author: Brad Nelms

Maintainer: Brad Nelms <bnelms.research at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CellMapper")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CellMapper")

 

PDF	R Script	CellMapper Vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	GeneExpression, Microarray, Software
Version	1.24.0
In Bioconductor since	BioC 3.4 (R-3.3) (6.5 years)
License	Artistic-2.0
Depends	S4Vectors, methods
Imports	stats, utils
LinkingTo
Suggests	CellMapperData, Biobase, HumanAffyData, ALL, BiocStyle, ExperimentHub
SystemRequirements
Enhances
URL
Depends On Me	CellMapperData
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	CellMapper_1.24.0.tar.gz
Windows Binary	CellMapper_1.24.0.zip
macOS Binary (x86_64)	CellMapper_1.24.0.tgz
macOS Binary (arm64)	CellMapper_1.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CellMapper
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CellMapper
Bioc Package Browser	https://code.bioconductor.org/browse/CellMapper/
Package Short Url	https://bioconductor.org/packages/CellMapper/
Package Downloads Report	Download Stats